Add uint16 to supported dtypes and regenerate edge.yaml

Summary: Adding `uint16` support and regenerating `edge.yaml` as we now support `uint16` in the ExecuTorch stack.

Differential Revision: D68241997

Author: tarun292

exir/dialects/edge/dtype/runner.py

@@ -17,7 +17,7 @@
 
 class DtypeRunner:
     def __init__(self):
-        self.tensor_dtypes = list(common_dtype.all_types_and(torch.bool, torch.half))
+        self.tensor_dtypes = list(common_dtype.all_types_and(torch.bool, torch.half, torch.uint16))
         self.scalar_dtypes = [torch.bool, torch.int, torch.float]
 
     @staticmethod